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Real-World Geometry and Generative Knowledge

Schiffer, Thomas and Schinko, Christoph and Ullrich, Torsten and Fellner, Dieter W. (2011):
Real-World Geometry and Generative Knowledge.
In: Ercim News, pp. 15-16, (86), [Article]

Abstract

The current methods of describing the shape of three-dimensional objects can be classified into two groups: composition of primitives and procedural description. As a 3D acquisition device simply returns an agglomeration of elementary objects (eg a laser scanner returns points) a real-world data set is always a - more or less noisy - composition of primitives. A generative model, on the other hand, describes an ideal object rather than a real one. Owing to this abstract view of an object, generative techniques are often used to describe objects semantically. Consequently, generative models, rather than being a replacement for established geometry descriptions (based on points, triangles, etc.), offer a sensible, semantic enrichment.

Item Type: Article
Erschienen: 2011
Creators: Schiffer, Thomas and Schinko, Christoph and Ullrich, Torsten and Fellner, Dieter W.
Title: Real-World Geometry and Generative Knowledge
Language: English
Abstract:

The current methods of describing the shape of three-dimensional objects can be classified into two groups: composition of primitives and procedural description. As a 3D acquisition device simply returns an agglomeration of elementary objects (eg a laser scanner returns points) a real-world data set is always a - more or less noisy - composition of primitives. A generative model, on the other hand, describes an ideal object rather than a real one. Owing to this abstract view of an object, generative techniques are often used to describe objects semantically. Consequently, generative models, rather than being a replacement for established geometry descriptions (based on points, triangles, etc.), offer a sensible, semantic enrichment.

Journal or Publication Title: Ercim News
Number: 86
Uncontrolled Keywords: Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Business Field: Digital society, Business Field: Virtual engineering, Business Field: Visual decision support, Research Area: Confluence of graphics and vision, Research Area: Semantics in the modeling process, Generative modeling, Procedural modeling, Cultural heritage, Geometric offset
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
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